Overview

Dataset statistics

Number of variables29
Number of observations3727
Missing cells7
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory844.5 KiB
Average record size in memory232.0 B

Variable types

Categorical2
Numeric27

Alerts

T_REC has a high cardinality: 3727 distinct values High cardinality
Longitude is highly correlated with EPSZ and 7 other fieldsHigh correlation
TOTUSJH is highly correlated with FlareNumber and 14 other fieldsHigh correlation
TOTBSQ is highly correlated with FlareNumber and 13 other fieldsHigh correlation
TOTPOT is highly correlated with FlareNumber and 12 other fieldsHigh correlation
TOTUSJZ is highly correlated with FlareNumber and 14 other fieldsHigh correlation
ABSNJZH is highly correlated with FlareNumber and 8 other fieldsHigh correlation
SAVNCPP is highly correlated with FlareNumber and 12 other fieldsHigh correlation
USFLUX is highly correlated with FlareNumber and 11 other fieldsHigh correlation
AREA_ACR is highly correlated with FlareNumber and 15 other fieldsHigh correlation
TOTFZ is highly correlated with TOTUSJH and 8 other fieldsHigh correlation
MEANPOT is highly correlated with FlareNumber and 13 other fieldsHigh correlation
R_VALUE is highly correlated with FlareNumber and 14 other fieldsHigh correlation
EPSZ is highly correlated with Longitude and 8 other fieldsHigh correlation
SHRGT45 is highly correlated with FlareNumber and 11 other fieldsHigh correlation
MEANSHR is highly correlated with FlareNumber and 13 other fieldsHigh correlation
MEANGAM is highly correlated with FlareNumber and 11 other fieldsHigh correlation
MEANGBT is highly correlated with Longitude and 6 other fieldsHigh correlation
MEANGBZ is highly correlated with Longitude and 6 other fieldsHigh correlation
MEANGBH is highly correlated with Longitude and 7 other fieldsHigh correlation
MEANJZH is highly correlated with ABSNJZH and 3 other fieldsHigh correlation
TOTFY is highly correlated with FlareNumber and 10 other fieldsHigh correlation
MEANALP is highly correlated with MEANJZH and 1 other fieldsHigh correlation
TOTFX is highly correlated with FlareNumber and 11 other fieldsHigh correlation
EPSY is highly correlated with Longitude and 3 other fieldsHigh correlation
EPSX is highly correlated with FlareNumber and 8 other fieldsHigh correlation
FlareNumber is highly correlated with TOTUSJH and 15 other fieldsHigh correlation
MEANJZD is highly correlated with MEANJZH and 1 other fieldsHigh correlation
T_REC is uniformly distributed Uniform
T_REC has unique values Unique
TOTPOT has unique values Unique
TOTUSJZ has unique values Unique
SAVNCPP has unique values Unique
AREA_ACR has unique values Unique
R_VALUE has 1310 (35.1%) zeros Zeros
SHRGT45 has 135 (3.6%) zeros Zeros

Reproduction

Analysis started2022-10-01 23:06:31.476779
Analysis finished2022-10-01 23:07:40.251176
Duration1 minute and 8.77 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

T_REC
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct3727
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.2 KiB
2010-05-01 23:48:00
 
1
2016-03-12 23:48:00
 
1
2016-03-04 23:48:00
 
1
2016-03-05 10:00:00
 
1
2016-03-05 23:12:00
 
1
Other values (3722)
3722 

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters70813
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3727 ?
Unique (%)100.0%

Sample

1st row2010-05-01 23:48:00
2nd row2010-05-02 23:48:00
3rd row2010-05-03 23:48:00
4th row2010-05-04 23:48:00
5th row2010-05-05 08:36:00

Common Values

ValueCountFrequency (%)
2010-05-01 23:48:001
 
< 0.1%
2016-03-12 23:48:001
 
< 0.1%
2016-03-04 23:48:001
 
< 0.1%
2016-03-05 10:00:001
 
< 0.1%
2016-03-05 23:12:001
 
< 0.1%
2016-03-05 23:48:001
 
< 0.1%
2016-03-06 12:24:001
 
< 0.1%
2016-03-06 23:48:001
 
< 0.1%
2016-03-07 23:48:001
 
< 0.1%
2016-03-08 03:48:001
 
< 0.1%
Other values (3717)3717
99.7%

Length

2022-10-02T04:37:40.306599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:48:002706
36.3%
23:12:0033
 
0.4%
23:36:0018
 
0.2%
11:24:0017
 
0.2%
23:24:0016
 
0.2%
21:36:0016
 
0.2%
19:48:0016
 
0.2%
04:24:0016
 
0.2%
21:12:0016
 
0.2%
23:00:0015
 
0.2%
Other values (2927)4585
61.5%

Most occurring characters

ValueCountFrequency (%)
016911
23.9%
29874
13.9%
18175
11.5%
-7454
10.5%
:7454
10.5%
34461
 
6.3%
44361
 
6.2%
83802
 
5.4%
3727
 
5.3%
61339
 
1.9%
Other values (3)3255
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number52178
73.7%
Dash Punctuation7454
 
10.5%
Other Punctuation7454
 
10.5%
Space Separator3727
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016911
32.4%
29874
18.9%
18175
15.7%
34461
 
8.5%
44361
 
8.4%
83802
 
7.3%
61339
 
2.6%
51336
 
2.6%
71074
 
2.1%
9845
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
-7454
100.0%
Other Punctuation
ValueCountFrequency (%)
:7454
100.0%
Space Separator
ValueCountFrequency (%)
3727
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common70813
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016911
23.9%
29874
13.9%
18175
11.5%
-7454
10.5%
:7454
10.5%
34461
 
6.3%
44361
 
6.2%
83802
 
5.4%
3727
 
5.3%
61339
 
1.9%
Other values (3)3255
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII70813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016911
23.9%
29874
13.9%
18175
11.5%
-7454
10.5%
:7454
10.5%
34461
 
6.3%
44361
 
6.2%
83802
 
5.4%
3727
 
5.3%
61339
 
1.9%
Other values (3)3255
 
4.6%

FlareNumber
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.2 KiB
0
3349 
1
378 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3727
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
03349
89.9%
1378
 
10.1%

Length

2022-10-02T04:37:40.369508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-02T04:37:40.463322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
03349
89.9%
1378
 
10.1%

Most occurring characters

ValueCountFrequency (%)
03349
89.9%
1378
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number3727
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
03349
89.9%
1378
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common3727
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
03349
89.9%
1378
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3727
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
03349
89.9%
1378
 
10.1%

Longitude
Real number (ℝ≥0)

HIGH CORRELATION

Distinct71
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.28709418
Minimum0
Maximum70
Zeros32
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:40.533051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q118
median35
Q350
95-th percentile64
Maximum70
Range70
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90301269
Coefficient of variation (CV)0.5513156813
Kurtosis-1.09945017
Mean34.28709418
Median Absolute Deviation (MAD)16
Skewness-0.05855492217
Sum127788
Variance357.3238887
MonotonicityNot monotonic
2022-10-02T04:37:40.633641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4977
 
2.1%
2376
 
2.0%
5176
 
2.0%
1774
 
2.0%
5272
 
1.9%
4669
 
1.9%
4269
 
1.9%
4868
 
1.8%
3668
 
1.8%
4467
 
1.8%
Other values (61)3011
80.8%
ValueCountFrequency (%)
032
0.9%
148
1.3%
250
1.3%
349
1.3%
457
1.5%
545
1.2%
633
0.9%
745
1.2%
842
1.1%
965
1.7%
ValueCountFrequency (%)
7019
0.5%
6926
0.7%
6816
 
0.4%
6726
0.7%
6636
1.0%
6533
0.9%
6442
1.1%
6334
0.9%
6244
1.2%
6143
1.2%

Latitude
Real number (ℝ≥0)

Distinct40
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.86745372
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:40.717647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q19
median13
Q318
95-th percentile25
Maximum42
Range41
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.485884631
Coefficient of variation (CV)0.4677055185
Kurtosis0.5511414618
Mean13.86745372
Median Absolute Deviation (MAD)4
Skewness0.609361255
Sum51684
Variance42.06669945
MonotonicityNot monotonic
2022-10-02T04:37:40.802311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
12272
 
7.3%
13243
 
6.5%
17224
 
6.0%
8218
 
5.8%
16212
 
5.7%
18210
 
5.6%
15206
 
5.5%
9204
 
5.5%
14177
 
4.7%
10177
 
4.7%
Other values (30)1584
42.5%
ValueCountFrequency (%)
113
 
0.3%
229
 
0.8%
371
 
1.9%
4100
2.7%
5105
2.8%
6135
3.6%
7174
4.7%
8218
5.8%
9204
5.5%
10177
4.7%
ValueCountFrequency (%)
421
 
< 0.1%
415
 
0.1%
401
 
< 0.1%
393
 
0.1%
383
 
0.1%
372
 
0.1%
351
 
< 0.1%
334
 
0.1%
3216
0.4%
3116
0.4%

TOTUSJH
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3714
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean851.9563681
Minimum0.001
Maximum14168.645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:40.887113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile17.1236
Q185.263
median345.54
Q3991.385
95-th percentile3463.3005
Maximum14168.645
Range14168.644
Interquartile range (IQR)906.122

Descriptive statistics

Standard deviation1383.801404
Coefficient of variation (CV)1.624263232
Kurtosis21.30024718
Mean851.9563681
Median Absolute Deviation (MAD)301.048
Skewness3.819320909
Sum3175241.384
Variance1914906.326
MonotonicityNot monotonic
2022-10-02T04:37:40.971657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702.8022
 
0.1%
37.4892
 
0.1%
29.1062
 
0.1%
3.1532
 
0.1%
4.662
 
0.1%
9.3042
 
0.1%
80.3812
 
0.1%
25.3212
 
0.1%
35.0242
 
0.1%
11.8942
 
0.1%
Other values (3704)3707
99.5%
ValueCountFrequency (%)
0.0011
< 0.1%
0.0591
< 0.1%
0.2071
< 0.1%
0.5181
< 0.1%
1.5431
< 0.1%
1.6521
< 0.1%
1.9441
< 0.1%
1.9461
< 0.1%
2.1991
< 0.1%
2.2241
< 0.1%
ValueCountFrequency (%)
14168.6451
< 0.1%
14084.6551
< 0.1%
13208.2931
< 0.1%
13126.7581
< 0.1%
12715.7111
< 0.1%
12277.0751
< 0.1%
11696.3021
< 0.1%
11628.8281
< 0.1%
11425.6691
< 0.1%
10557.4751
< 0.1%

TOTBSQ
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3665
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.771354653 × 1010
Minimum113430000
Maximum2.7827 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:41.071612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum113430000
5-th percentile804812000
Q13332600000
median9429200000
Q32.2252 × 1010
95-th percentile6.29222 × 1010
Maximum2.7827 × 1011
Range2.7815657 × 1011
Interquartile range (IQR)1.89194 × 1010

Descriptive statistics

Standard deviation2.483628719 × 1010
Coefficient of variation (CV)1.402106977
Kurtosis25.74617642
Mean1.771354653 × 1010
Median Absolute Deviation (MAD)7241600000
Skewness4.00090351
Sum6.601838793 × 1013
Variance6.168411612 × 1020
MonotonicityNot monotonic
2022-10-02T04:37:41.150011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7908 × 10102
 
0.1%
84666000002
 
0.1%
1.0625 × 10102
 
0.1%
41477000002
 
0.1%
1.8929 × 10102
 
0.1%
1.1885 × 10102
 
0.1%
1.336 × 10102
 
0.1%
1.912 × 10102
 
0.1%
2.2483 × 10102
 
0.1%
1.3676 × 10102
 
0.1%
Other values (3655)3707
99.5%
ValueCountFrequency (%)
1134300001
< 0.1%
1283700001
< 0.1%
1301400001
< 0.1%
1462600001
< 0.1%
1624000001
< 0.1%
1697100001
< 0.1%
1840100001
< 0.1%
1936700001
< 0.1%
1943400001
< 0.1%
1976800001
< 0.1%
ValueCountFrequency (%)
2.7827 × 10111
< 0.1%
2.7806 × 10111
< 0.1%
2.6416 × 10111
< 0.1%
2.6049 × 10111
< 0.1%
2.4621 × 10111
< 0.1%
2.4588 × 10111
< 0.1%
2.3945 × 10111
< 0.1%
2.2268 × 10111
< 0.1%
2.1074 × 10111
< 0.1%
2.0392 × 10111
< 0.1%

TOTPOT
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct3727
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.026350919 × 1023
Minimum5.867828 × 1017
Maximum5.272885 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:41.251539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.867828 × 1017
5-th percentile9.4416034 × 1020
Q15.319938 × 1021
median4.305991 × 1022
Q32.0127205 × 1023
95-th percentile9.8827236 × 1023
Maximum5.272885 × 1024
Range5.272884413 × 1024
Interquartile range (IQR)1.95952112 × 1023

Descriptive statistics

Standard deviation4.323295082 × 1023
Coefficient of variation (CV)2.133537208
Kurtosis43.22228808
Mean2.026350919 × 1023
Median Absolute Deviation (MAD)4.1515575 × 1022
Skewness5.364046992
Sum7.552209874 × 1026
Variance1.869088036 × 1047
MonotonicityNot monotonic
2022-10-02T04:37:41.418838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.596094 × 10211
 
< 0.1%
3.851285 × 10221
 
< 0.1%
9.527627 × 10221
 
< 0.1%
8.739421 × 10191
 
< 0.1%
8.248724 × 10201
 
< 0.1%
2.992537 × 10221
 
< 0.1%
3.43613 × 10201
 
< 0.1%
1.780587 × 10221
 
< 0.1%
1.301411 × 10221
 
< 0.1%
2.643897 × 10211
 
< 0.1%
Other values (3717)3717
99.7%
ValueCountFrequency (%)
5.867828 × 10171
< 0.1%
5.911002 × 10171
< 0.1%
3.276758 × 10181
< 0.1%
3.212924 × 10191
< 0.1%
4.179853 × 10191
< 0.1%
7.375367 × 10191
< 0.1%
7.417502 × 10191
< 0.1%
7.829519 × 10191
< 0.1%
8.585172 × 10191
< 0.1%
8.686111 × 10191
< 0.1%
ValueCountFrequency (%)
5.272885 × 10241
< 0.1%
5.182794 × 10241
< 0.1%
5.170334 × 10241
< 0.1%
4.994117 × 10241
< 0.1%
4.962371 × 10241
< 0.1%
4.923711 × 10241
< 0.1%
4.905265 × 10241
< 0.1%
4.567814 × 10241
< 0.1%
4.357377 × 10241
< 0.1%
3.677566 × 10241
< 0.1%

TOTUSJZ
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct3727
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.665797926 × 1013
Minimum38714830
Maximum2.358938 × 1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:41.519302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum38714830
5-th percentile3.7563336 × 1011
Q11.8116325 × 1012
median7.425549 × 1012
Q32.079568 × 1013
95-th percentile6.4592755 × 1013
Maximum2.358938 × 1014
Range2.358937613 × 1014
Interquartile range (IQR)1.89840475 × 1013

Descriptive statistics

Standard deviation2.455136354 × 1013
Coefficient of variation (CV)1.473850049
Kurtosis17.07055125
Mean1.665797926 × 1013
Median Absolute Deviation (MAD)6.4486822 × 1012
Skewness3.319357784
Sum6.208428869 × 1016
Variance6.027694516 × 1026
MonotonicityNot monotonic
2022-10-02T04:37:41.603863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.204115 × 10121
 
< 0.1%
2.597413 × 10121
 
< 0.1%
8.09395 × 10121
 
< 0.1%
7.154273 × 10101
 
< 0.1%
2.934025 × 10111
 
< 0.1%
8.986319 × 10121
 
< 0.1%
1.474432 × 10111
 
< 0.1%
7.152552 × 10121
 
< 0.1%
6.482789 × 10121
 
< 0.1%
1.294429 × 10121
 
< 0.1%
Other values (3717)3717
99.7%
ValueCountFrequency (%)
387148301
< 0.1%
12700510001
< 0.1%
47081330001
< 0.1%
1.692158 × 10101
< 0.1%
2.500617 × 10101
< 0.1%
3.679855 × 10101
< 0.1%
3.696935 × 10101
< 0.1%
4.459096 × 10101
< 0.1%
4.480426 × 10101
< 0.1%
4.807675 × 10101
< 0.1%
ValueCountFrequency (%)
2.358938 × 10141
< 0.1%
2.357293 × 10141
< 0.1%
2.309252 × 10141
< 0.1%
2.299806 × 10141
< 0.1%
2.290698 × 10141
< 0.1%
2.236025 × 10141
< 0.1%
2.158143 × 10141
< 0.1%
2.133487 × 10141
< 0.1%
2.11679 × 10141
< 0.1%
1.768718 × 10141
< 0.1%

ABSNJZH
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3596
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.7567813
Minimum0.001
Maximum3780.548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:41.704103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.8163
Q15.6205
median21.749
Q379.882
95-th percentile552.0724
Maximum3780.548
Range3780.547
Interquartile range (IQR)74.2615

Descriptive statistics

Standard deviation286.976964
Coefficient of variation (CV)2.522724014
Kurtosis37.8894537
Mean113.7567813
Median Absolute Deviation (MAD)19.518
Skewness5.4002321
Sum423971.524
Variance82355.77787
MonotonicityNot monotonic
2022-10-02T04:37:41.788648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.4384
 
0.1%
13.1453
 
0.1%
0.223
 
0.1%
2.6073
 
0.1%
0.383
 
0.1%
9.0373
 
0.1%
4.0723
 
0.1%
21.9132
 
0.1%
2.6972
 
0.1%
15.2792
 
0.1%
Other values (3586)3699
99.2%
ValueCountFrequency (%)
0.0011
< 0.1%
0.011
< 0.1%
0.0181
< 0.1%
0.0212
0.1%
0.0431
< 0.1%
0.0541
< 0.1%
0.0551
< 0.1%
0.0591
< 0.1%
0.061
< 0.1%
0.0631
< 0.1%
ValueCountFrequency (%)
3780.5481
< 0.1%
2919.7861
< 0.1%
2877.9281
< 0.1%
2840.5821
< 0.1%
2815.6231
< 0.1%
2770.1131
< 0.1%
2742.2821
< 0.1%
2693.6861
< 0.1%
2606.6521
< 0.1%
2579.5131
< 0.1%

SAVNCPP
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct3727
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.644977056 × 1012
Minimum150976600
Maximum9.827055 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:41.873416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum150976600
5-th percentile8.818405 × 1010
Q14.931213 × 1011
median1.42097 × 1012
Q33.9442405 × 1012
95-th percentile2.0698243 × 1013
Maximum9.827055 × 1013
Range9.827039902 × 1013
Interquartile range (IQR)3.4511192 × 1012

Descriptive statistics

Standard deviation9.752877137 × 1012
Coefficient of variation (CV)2.099660993
Kurtosis26.61492644
Mean4.644977056 × 1012
Median Absolute Deviation (MAD)1.1579154 × 1012
Skewness4.623020854
Sum1.731182949 × 1016
Variance9.511861245 × 1025
MonotonicityNot monotonic
2022-10-02T04:37:41.973693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.928427 × 10111
 
< 0.1%
2.048421 × 10111
 
< 0.1%
1.433059 × 10121
 
< 0.1%
9.174701 × 10101
 
< 0.1%
7.788269 × 10101
 
< 0.1%
3.218395 × 10121
 
< 0.1%
3.570668 × 10101
 
< 0.1%
3.029582 × 10121
 
< 0.1%
1.799094 × 10121
 
< 0.1%
4.458439 × 10111
 
< 0.1%
Other values (3717)3717
99.7%
ValueCountFrequency (%)
1509766001
< 0.1%
2140616001
< 0.1%
2527779001
< 0.1%
8725430001
< 0.1%
11263030001
< 0.1%
14484870001
< 0.1%
15044900001
< 0.1%
15853390001
< 0.1%
26454630001
< 0.1%
35255780001
< 0.1%
ValueCountFrequency (%)
9.827055 × 10131
< 0.1%
9.495076 × 10131
< 0.1%
9.043536 × 10131
< 0.1%
8.877603 × 10131
< 0.1%
8.757928 × 10131
< 0.1%
8.247506 × 10131
< 0.1%
8.242058 × 10131
< 0.1%
8.088022 × 10131
< 0.1%
7.941263 × 10131
< 0.1%
7.913696 × 10131
< 0.1%

USFLUX
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3726
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.244271254 × 1022
Minimum4.492906 × 1017
Maximum1.965451 × 1023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:42.073632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.492906 × 1017
5-th percentile2.9070689 × 1020
Q11.730387 × 1021
median6.302134 × 1021
Q31.693249 × 1022
95-th percentile4.4194159 × 1022
Maximum1.965451 × 1023
Range1.965446507 × 1023
Interquartile range (IQR)1.5202103 × 1022

Descriptive statistics

Standard deviation1.707679593 × 1022
Coefficient of variation (CV)1.372433533
Kurtosis22.86917719
Mean1.244271254 × 1022
Median Absolute Deviation (MAD)5.3261437 × 1021
Skewness3.588916169
Sum4.637398965 × 1025
Variance2.916169593 × 1044
MonotonicityNot monotonic
2022-10-02T04:37:42.167626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.63051 × 10222
 
0.1%
7.739207 × 10201
 
< 0.1%
3.206414 × 10211
 
< 0.1%
1.132573 × 10221
 
< 0.1%
3.353949 × 10191
 
< 0.1%
3.426511 × 10201
 
< 0.1%
5.098888 × 10211
 
< 0.1%
8.507968 × 10191
 
< 0.1%
3.814748 × 10211
 
< 0.1%
2.955288 × 10211
 
< 0.1%
Other values (3716)3716
99.7%
ValueCountFrequency (%)
4.492906 × 10171
< 0.1%
1.212279 × 10181
< 0.1%
2.350997 × 10181
< 0.1%
7.791399 × 10181
< 0.1%
1.935181 × 10191
< 0.1%
2.316916 × 10191
< 0.1%
2.443592 × 10191
< 0.1%
2.52648 × 10191
< 0.1%
2.583952 × 10191
< 0.1%
3.353949 × 10191
< 0.1%
ValueCountFrequency (%)
1.965451 × 10231
< 0.1%
1.963436 × 10231
< 0.1%
1.962571 × 10231
< 0.1%
1.846904 × 10231
< 0.1%
1.631863 × 10231
< 0.1%
1.496241 × 10231
< 0.1%
1.428839 × 10231
< 0.1%
1.388779 × 10231
< 0.1%
1.337911 × 10231
< 0.1%
1.322495 × 10231
< 0.1%

AREA_ACR
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct3727
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498.6545148
Minimum0.194757
Maximum7153.522461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:42.269278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.194757
5-th percentile13.8918154
Q153.4975145
median246.746078
Q3667.4351805
95-th percentile1810.873193
Maximum7153.522461
Range7153.327704
Interquartile range (IQR)613.937666

Descriptive statistics

Standard deviation700.6717441
Coefficient of variation (CV)1.405124637
Kurtosis18.92976501
Mean498.6545148
Median Absolute Deviation (MAD)224.661607
Skewness3.386127769
Sum1858485.377
Variance490940.893
MonotonicityNot monotonic
2022-10-02T04:37:42.351994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.9712831
 
< 0.1%
73.0543141
 
< 0.1%
270.1052861
 
< 0.1%
12.4733051
 
< 0.1%
12.8575891
 
< 0.1%
479.0321661
 
< 0.1%
7.1516681
 
< 0.1%
465.0592351
 
< 0.1%
388.5490111
 
< 0.1%
19.8921151
 
< 0.1%
Other values (3717)3717
99.7%
ValueCountFrequency (%)
0.1947571
< 0.1%
0.3547541
< 0.1%
0.8019691
< 0.1%
0.9213441
< 0.1%
1.6079041
< 0.1%
1.6568961
< 0.1%
1.7055271
< 0.1%
2.2110691
< 0.1%
2.2297791
< 0.1%
2.3243431
< 0.1%
ValueCountFrequency (%)
7153.5224611
< 0.1%
7052.923341
< 0.1%
6866.0322271
< 0.1%
6808.1948241
< 0.1%
6490.6513671
< 0.1%
6490.5620121
< 0.1%
6486.5864261
< 0.1%
6143.2534181
< 0.1%
5911.4921881
< 0.1%
5469.920411
< 0.1%

TOTFZ
Real number (ℝ)

HIGH CORRELATION

Distinct3672
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1875.863086
Minimum-29738
Maximum2396.4
Zeros0
Zeros (%)0.0%
Negative3440
Negative (%)92.3%
Memory size29.2 KiB
2022-10-02T04:37:42.452245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-29738
5-th percentile-6769.21
Q1-2514
median-1022.3
Q3-283.165
95-th percentile32.5958
Maximum2396.4
Range32134.4
Interquartile range (IQR)2230.835

Descriptive statistics

Standard deviation2509.059109
Coefficient of variation (CV)-1.337549168
Kurtosis16.37477136
Mean-1875.863086
Median Absolute Deviation (MAD)894.87
Skewness-3.048544981
Sum-6991341.721
Variance6295377.615
MonotonicityNot monotonic
2022-10-02T04:37:42.537693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1579.63
 
0.1%
-1442.82
 
0.1%
-1218.12
 
0.1%
-67212
 
0.1%
-1209.92
 
0.1%
-854.692
 
0.1%
-2771.72
 
0.1%
-1264.92
 
0.1%
-189.772
 
0.1%
-1266.32
 
0.1%
Other values (3662)3706
99.4%
ValueCountFrequency (%)
-297381
< 0.1%
-282211
< 0.1%
-271401
< 0.1%
-202681
< 0.1%
-185981
< 0.1%
-182921
< 0.1%
-176591
< 0.1%
-174141
< 0.1%
-171291
< 0.1%
-170621
< 0.1%
ValueCountFrequency (%)
2396.41
< 0.1%
2341.41
< 0.1%
1689.91
< 0.1%
1474.41
< 0.1%
816.671
< 0.1%
764.571
< 0.1%
759.891
< 0.1%
714.251
< 0.1%
706.031
< 0.1%
652.681
< 0.1%

MEANPOT
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3726
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4932.809133
Minimum111.2727
Maximum25649.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:42.622084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum111.2727
5-th percentile841.82118
Q11485.0485
median2801.038
Q37308.941
95-th percentile14907.432
Maximum25649.41
Range25538.1373
Interquartile range (IQR)5823.8925

Descriptive statistics

Standard deviation4696.602982
Coefficient of variation (CV)0.9521152868
Kurtosis1.565781656
Mean4932.809133
Median Absolute Deviation (MAD)1747.478
Skewness1.440758886
Sum18384579.64
Variance22058079.57
MonotonicityNot monotonic
2022-10-02T04:37:42.721822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1399.9192
 
0.1%
2472.8871
 
< 0.1%
1290.3281
 
< 0.1%
1145.9751
 
< 0.1%
2899.3071
 
< 0.1%
1760.1091
 
< 0.1%
2203.3841
 
< 0.1%
1745.2281
 
< 0.1%
747.86631
 
< 0.1%
2695.4681
 
< 0.1%
Other values (3716)3716
99.7%
ValueCountFrequency (%)
111.27271
< 0.1%
366.18011
< 0.1%
441.83991
< 0.1%
459.72851
< 0.1%
497.78271
< 0.1%
498.09721
< 0.1%
526.68051
< 0.1%
527.86431
< 0.1%
531.90841
< 0.1%
532.51851
< 0.1%
ValueCountFrequency (%)
25649.411
< 0.1%
24785.141
< 0.1%
24524.941
< 0.1%
24040.441
< 0.1%
23743.881
< 0.1%
23694.441
< 0.1%
23594.411
< 0.1%
23546.861
< 0.1%
23260.261
< 0.1%
23032.511
< 0.1%

R_VALUE
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct1690
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.275632412
Minimum0
Maximum5.479
Zeros1310
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:42.806255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.84
Q33.7625
95-th percentile4.7911
Maximum5.479
Range5.479
Interquartile range (IQR)3.7625

Descriptive statistics

Standard deviation1.810944325
Coefficient of variation (CV)0.7957982647
Kurtosis-1.524425643
Mean2.275632412
Median Absolute Deviation (MAD)1.335
Skewness-0.205992093
Sum8481.282
Variance3.279519347
MonotonicityNot monotonic
2022-10-02T04:37:43.002427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01310
35.1%
3.7235
 
0.1%
3.8285
 
0.1%
3.8755
 
0.1%
3.4364
 
0.1%
3.4644
 
0.1%
3.5884
 
0.1%
3.044
 
0.1%
3.1224
 
0.1%
4.1914
 
0.1%
Other values (1680)2378
63.8%
ValueCountFrequency (%)
01310
35.1%
1.1021
 
< 0.1%
1.2061
 
< 0.1%
1.3171
 
< 0.1%
1.4071
 
< 0.1%
1.4181
 
< 0.1%
1.5061
 
< 0.1%
1.5141
 
< 0.1%
1.531
 
< 0.1%
1.5321
 
< 0.1%
ValueCountFrequency (%)
5.4791
< 0.1%
5.4671
< 0.1%
5.4461
< 0.1%
5.4331
< 0.1%
5.4261
< 0.1%
5.4051
< 0.1%
5.3761
< 0.1%
5.3621
< 0.1%
5.362
0.1%
5.351
< 0.1%

EPSZ
Real number (ℝ)

HIGH CORRELATION

Distinct2845
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.230917333
Minimum-0.6856
Maximum0.4231
Zeros0
Zeros (%)0.0%
Negative3440
Negative (%)92.3%
Memory size29.2 KiB
2022-10-02T04:37:43.088180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.6856
5-th percentile-0.52988
Q1-0.3612
median-0.2216
Q3-0.1004
95-th percentile0.03307
Maximum0.4231
Range1.1087
Interquartile range (IQR)0.2608

Descriptive statistics

Standard deviation0.1757075729
Coefficient of variation (CV)-0.760911148
Kurtosis-0.3582859654
Mean-0.230917333
Median Absolute Deviation (MAD)0.1295
Skewness-0.03125153227
Sum-860.6289
Variance0.03087315119
MonotonicityNot monotonic
2022-10-02T04:37:43.181976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.10344
 
0.1%
-0.20994
 
0.1%
-0.1174
 
0.1%
-0.02024
 
0.1%
-0.11854
 
0.1%
-0.21554
 
0.1%
-0.04664
 
0.1%
-0.15564
 
0.1%
-0.09724
 
0.1%
-0.20424
 
0.1%
Other values (2835)3687
98.9%
ValueCountFrequency (%)
-0.68561
< 0.1%
-0.67171
< 0.1%
-0.65031
< 0.1%
-0.64991
< 0.1%
-0.64911
< 0.1%
-0.64771
< 0.1%
-0.64581
< 0.1%
-0.64461
< 0.1%
-0.64271
< 0.1%
-0.64161
< 0.1%
ValueCountFrequency (%)
0.42311
< 0.1%
0.40051
< 0.1%
0.35561
< 0.1%
0.35511
< 0.1%
0.35461
< 0.1%
0.31851
< 0.1%
0.31781
< 0.1%
0.30911
< 0.1%
0.29211
< 0.1%
0.2861
< 0.1%

SHRGT45
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct3309
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.66251677
Minimum0
Maximum75.313
Zeros135
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:43.275548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0733
Q12.0195
median9.572
Q328.875
95-th percentile50.6566
Maximum75.313
Range75.313
Interquartile range (IQR)26.8555

Descriptive statistics

Standard deviation17.2549249
Coefficient of variation (CV)1.03555334
Kurtosis-0.1832775216
Mean16.66251677
Median Absolute Deviation (MAD)9.098
Skewness0.936271885
Sum62101.2
Variance297.7324332
MonotonicityNot monotonic
2022-10-02T04:37:43.365506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0135
 
3.6%
0.1426
 
0.2%
0.0685
 
0.1%
0.034
 
0.1%
0.0384
 
0.1%
2.3364
 
0.1%
0.7214
 
0.1%
3.3334
 
0.1%
2.8513
 
0.1%
4.033
 
0.1%
Other values (3299)3555
95.4%
ValueCountFrequency (%)
0135
3.6%
0.0212
 
0.1%
0.0221
 
< 0.1%
0.0251
 
< 0.1%
0.0271
 
< 0.1%
0.0281
 
< 0.1%
0.0291
 
< 0.1%
0.034
 
0.1%
0.0331
 
< 0.1%
0.0341
 
< 0.1%
ValueCountFrequency (%)
75.3131
< 0.1%
74.4961
< 0.1%
73.1481
< 0.1%
73.0471
< 0.1%
71.9551
< 0.1%
71.9121
< 0.1%
71.6821
< 0.1%
70.7281
< 0.1%
70.3741
< 0.1%
69.8951
< 0.1%

MEANSHR
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3481
Distinct (%)93.6%
Missing7
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean28.6626328
Minimum5.451
Maximum58.527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:43.459697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.451
5-th percentile16.5349
Q121.363
median25.796
Q335.692
95-th percentile47.2276
Maximum58.527
Range53.076
Interquartile range (IQR)14.329

Descriptive statistics

Standard deviation9.641445092
Coefficient of variation (CV)0.3363768137
Kurtosis-0.4249382424
Mean28.6626328
Median Absolute Deviation (MAD)6.227
Skewness0.6883210628
Sum106624.994
Variance92.95746346
MonotonicityNot monotonic
2022-10-02T04:37:43.549433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.8324
 
0.1%
22.8754
 
0.1%
23.9914
 
0.1%
22.0473
 
0.1%
18.583
 
0.1%
19.7343
 
0.1%
25.3043
 
0.1%
22.0733
 
0.1%
22.5633
 
0.1%
22.253
 
0.1%
Other values (3471)3687
98.9%
(Missing)7
 
0.2%
ValueCountFrequency (%)
5.4511
< 0.1%
10.4851
< 0.1%
12.6241
< 0.1%
12.661
< 0.1%
12.6791
< 0.1%
12.7471
< 0.1%
12.8731
< 0.1%
13.0281
< 0.1%
13.0991
< 0.1%
13.1591
< 0.1%
ValueCountFrequency (%)
58.5271
< 0.1%
58.1061
< 0.1%
57.3061
< 0.1%
57.2411
< 0.1%
57.0681
< 0.1%
56.7411
< 0.1%
56.7351
< 0.1%
56.5121
< 0.1%
56.2961
< 0.1%
56.2031
< 0.1%

MEANGAM
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3526
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.46059807
Minimum15.563
Maximum67.693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:43.632930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum15.563
5-th percentile21.6109
Q126.4905
median32.981
Q343.3345
95-th percentile55.9612
Maximum67.693
Range52.13
Interquartile range (IQR)16.844

Descriptive statistics

Standard deviation10.89885656
Coefficient of variation (CV)0.3073511772
Kurtosis-0.620011985
Mean35.46059807
Median Absolute Deviation (MAD)7.89
Skewness0.5857897156
Sum132161.649
Variance118.7850743
MonotonicityNot monotonic
2022-10-02T04:37:43.733041image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.163
 
0.1%
22.0653
 
0.1%
31.623
 
0.1%
22.2683
 
0.1%
29.8143
 
0.1%
22.2993
 
0.1%
26.6533
 
0.1%
34.4283
 
0.1%
29.3612
 
0.1%
50.3152
 
0.1%
Other values (3516)3699
99.2%
ValueCountFrequency (%)
15.5631
< 0.1%
15.7081
< 0.1%
17.2611
< 0.1%
17.3791
< 0.1%
17.4581
< 0.1%
17.8521
< 0.1%
18.0371
< 0.1%
18.5081
< 0.1%
18.6091
< 0.1%
18.8071
< 0.1%
ValueCountFrequency (%)
67.6931
< 0.1%
66.4971
< 0.1%
66.3781
< 0.1%
66.1871
< 0.1%
65.7271
< 0.1%
65.4971
< 0.1%
65.4571
< 0.1%
65.321
< 0.1%
65.0841
< 0.1%
64.8941
< 0.1%

MEANGBT
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3642
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.5632949
Minimum45.186
Maximum206.782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:43.827867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum45.186
5-th percentile66.8088
Q183.535
median99.24
Q3117.124
95-th percentile143.2806
Maximum206.782
Range161.596
Interquartile range (IQR)33.589

Descriptive statistics

Standard deviation23.92764413
Coefficient of variation (CV)0.2355934214
Kurtosis0.1435954939
Mean101.5632949
Median Absolute Deviation (MAD)16.726
Skewness0.501026583
Sum378526.4
Variance572.5321534
MonotonicityNot monotonic
2022-10-02T04:37:43.918054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.0512
 
0.1%
126.2212
 
0.1%
78.3782
 
0.1%
95.6172
 
0.1%
92.1522
 
0.1%
72.3592
 
0.1%
68.4892
 
0.1%
108.5532
 
0.1%
90.2052
 
0.1%
132.6262
 
0.1%
Other values (3632)3707
99.5%
ValueCountFrequency (%)
45.1861
< 0.1%
48.9961
< 0.1%
49.9151
< 0.1%
50.61
< 0.1%
50.831
< 0.1%
50.891
< 0.1%
51.1641
< 0.1%
52.4491
< 0.1%
53.1131
< 0.1%
53.1961
< 0.1%
ValueCountFrequency (%)
206.7821
< 0.1%
205.5291
< 0.1%
200.7581
< 0.1%
196.6911
< 0.1%
193.421
< 0.1%
191.6141
< 0.1%
191.2421
< 0.1%
191.1451
< 0.1%
190.8271
< 0.1%
189.5571
< 0.1%

MEANGBZ
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3634
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.5715562
Minimum50.904
Maximum219.195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:44.013599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50.904
5-th percentile68.603
Q186.0255
median101.719
Q3118.6735
95-th percentile144.3459
Maximum219.195
Range168.291
Interquartile range (IQR)32.648

Descriptive statistics

Standard deviation23.49111408
Coefficient of variation (CV)0.2268104772
Kurtosis0.3464542645
Mean103.5715562
Median Absolute Deviation (MAD)16.252
Skewness0.5006567175
Sum386011.19
Variance551.8324409
MonotonicityNot monotonic
2022-10-02T04:37:44.095687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.9163
 
0.1%
96.7232
 
0.1%
104.0082
 
0.1%
64.9732
 
0.1%
109.4842
 
0.1%
91.0632
 
0.1%
82.682
 
0.1%
116.2142
 
0.1%
107.2742
 
0.1%
130.4952
 
0.1%
Other values (3624)3706
99.4%
ValueCountFrequency (%)
50.9041
< 0.1%
51.3011
< 0.1%
51.8051
< 0.1%
53.5221
< 0.1%
54.2971
< 0.1%
54.8191
< 0.1%
54.9311
< 0.1%
55.2071
< 0.1%
55.8321
< 0.1%
56.151
< 0.1%
ValueCountFrequency (%)
219.1951
< 0.1%
208.6211
< 0.1%
206.5571
< 0.1%
203.9771
< 0.1%
202.9151
< 0.1%
199.321
< 0.1%
197.341
< 0.1%
193.6771
< 0.1%
192.9011
< 0.1%
188.0311
< 0.1%

MEANGBH
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3612
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.44884545
Minimum18.677
Maximum130.434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2022-10-02T04:37:44.189188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.677
5-th percentile25.1535
Q133.8225
median45.056
Q357.1515
95-th percentile73.1574
Maximum130.434
Range111.757
Interquartile range (IQR)23.329

Descriptive statistics

Standard deviation15.29266491
Coefficient of variation (CV)0.3292367068
Kurtosis0.0518707759
Mean46.44884545
Median Absolute Deviation (MAD)11.598
Skewness0.5587486937
Sum173114.847
Variance233.8656001
MonotonicityNot monotonic
2022-10-02T04:37:44.280576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.1263
 
0.1%
39.8942
 
0.1%
64.8242
 
0.1%
50.6232
 
0.1%
39.5872
 
0.1%
31.0682
 
0.1%
62.9782
 
0.1%
27.2592
 
0.1%
31.4672
 
0.1%
45.8042
 
0.1%
Other values (3602)3706
99.4%
ValueCountFrequency (%)
18.6771
< 0.1%
19.2541
< 0.1%
20.1291
< 0.1%
20.2221
< 0.1%
20.6621
< 0.1%
20.7041
< 0.1%
20.8171
< 0.1%
20.8191
< 0.1%
20.8821
< 0.1%
21.0371
< 0.1%
ValueCountFrequency (%)
130.4341
< 0.1%
117.8021
< 0.1%
115.3281
< 0.1%
107.9011
< 0.1%
106.9111
< 0.1%
103.1281
< 0.1%
99.71
< 0.1%
99.1831
< 0.1%
97.7281
< 0.1%
97.5581
< 0.1%

MEANJZH
Real number (ℝ)

HIGH CORRELATION

Distinct3722
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0007557694714
Minimum-0.05939588
Maximum0.1036126
Zeros0
Zeros (%)0.0%
Negative2049
Negative (%)55.0%
Memory size29.2 KiB
2022-10-02T04:37:44.364775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.05939588
5-th percentile-0.012572548
Q1-0.003754355
median-0.00053157
Q30.002523185
95-th percentile0.009547276
Maximum0.1036126
Range0.16300848
Interquartile range (IQR)0.00627754

Descriptive statistics

Standard deviation0.008071851939
Coefficient of variation (CV)-10.6803096
Kurtosis17.87322259
Mean-0.0007557694714
Median Absolute Deviation (MAD)0.00311337
Skewness0.8228456929
Sum-2.81675282
Variance6.515479373 × 10-5
MonotonicityNot monotonic
2022-10-02T04:37:44.550224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.000319382
 
0.1%
-0.000107632
 
0.1%
0.000259872
 
0.1%
-0.001144822
 
0.1%
-0.005681792
 
0.1%
-0.012004681
 
< 0.1%
-0.00157191
 
< 0.1%
-0.044493991
 
< 0.1%
-0.003442971
 
< 0.1%
-0.003800171
 
< 0.1%
Other values (3712)3712
99.6%
ValueCountFrequency (%)
-0.059395881
< 0.1%
-0.052286721
< 0.1%
-0.052063971
< 0.1%
-0.046659411
< 0.1%
-0.044493991
< 0.1%
-0.043027391
< 0.1%
-0.042043051
< 0.1%
-0.041626781
< 0.1%
-0.041336371
< 0.1%
-0.040259281
< 0.1%
ValueCountFrequency (%)
0.10361261
< 0.1%
0.062821721
< 0.1%
0.061987841
< 0.1%
0.061735221
< 0.1%
0.0575381
< 0.1%
0.052298991
< 0.1%
0.048059531
< 0.1%
0.046758061
< 0.1%
0.046383511
< 0.1%
0.0461771
< 0.1%

TOTFY
Real number (ℝ)

HIGH CORRELATION

Distinct3698
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.0135537
Minimum-11180
Maximum12939
Zeros0
Zeros (%)0.0%
Negative1761
Negative (%)47.2%
Memory size29.2 KiB
2022-10-02T04:37:44.653276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-11180
5-th percentile-1878
Q1-322.875
median20.645
Q3367.985
95-th percentile2554.07
Maximum12939
Range24119
Interquartile range (IQR)690.86

Descriptive statistics

Standard deviation1522.091794
Coefficient of variation (CV)12.6826658
Kurtosis13.20272131
Mean120.0135537
Median Absolute Deviation (MAD)345.535
Skewness1.143642014
Sum447290.5147
Variance2316763.428
MonotonicityNot monotonic
2022-10-02T04:37:44.735841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295.42
 
0.1%
314.632
 
0.1%
-218.132
 
0.1%
-1206.12
 
0.1%
160.632
 
0.1%
-128.592
 
0.1%
129.112
 
0.1%
170.032
 
0.1%
-1179.42
 
0.1%
-290.062
 
0.1%
Other values (3688)3707
99.5%
ValueCountFrequency (%)
-111801
< 0.1%
-88441
< 0.1%
-8755.61
< 0.1%
-8743.71
< 0.1%
-8301.51
< 0.1%
-8082.81
< 0.1%
-7147.81
< 0.1%
-6981.31
< 0.1%
-6942.41
< 0.1%
-6831.61
< 0.1%
ValueCountFrequency (%)
129391
< 0.1%
117071
< 0.1%
116131
< 0.1%
115981
< 0.1%
110801
< 0.1%
106491
< 0.1%
102751
< 0.1%
9880.81
< 0.1%
9668.31
< 0.1%
94251
< 0.1%

MEANJZD
Real number (ℝ)

HIGH CORRELATION

Distinct3726
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0886788358
Minimum-3.36693764
Maximum17.72581291
Zeros0
Zeros (%)0.0%
Negative1686
Negative (%)45.2%
Memory size29.2 KiB
2022-10-02T04:37:44.828439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3.36693764
5-th percentile-0.471120278
Q1-0.126281105
median0.02914014
Q30.244345515
95-th percentile0.811101128
Maximum17.72581291
Range21.09275055
Interquartile range (IQR)0.37062662

Descriptive statistics

Standard deviation0.5486924414
Coefficient of variation (CV)6.18741142
Kurtosis294.866162
Mean0.0886788358
Median Absolute Deviation (MAD)0.17915632
Skewness9.959459497
Sum330.506021
Variance0.3010633952
MonotonicityNot monotonic
2022-10-02T04:37:44.910355image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.19472982
 
0.1%
1.697619441
 
< 0.1%
-0.105683621
 
< 0.1%
-3.366937641
 
< 0.1%
-0.277604131
 
< 0.1%
0.799925631
 
< 0.1%
-0.468958351
 
< 0.1%
0.961248931
 
< 0.1%
0.618283931
 
< 0.1%
-0.322983151
 
< 0.1%
Other values (3716)3716
99.7%
ValueCountFrequency (%)
-3.366937641
< 0.1%
-2.454021931
< 0.1%
-2.380556581
< 0.1%
-2.311303621
< 0.1%
-2.212846761
< 0.1%
-2.192622181
< 0.1%
-2.172576431
< 0.1%
-2.022108321
< 0.1%
-1.904427651
< 0.1%
-1.863078241
< 0.1%
ValueCountFrequency (%)
17.725812911
< 0.1%
6.059351921
< 0.1%
4.225369931
< 0.1%
4.041141991
< 0.1%
3.908250091
< 0.1%
3.328320981
< 0.1%
3.166277411
< 0.1%
3.081855541
< 0.1%
2.793706891
< 0.1%
2.625911241
< 0.1%

MEANALP
Real number (ℝ)

HIGH CORRELATION

Distinct3726
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001858404795
Minimum-0.23765036
Maximum0.49365297
Zeros0
Zeros (%)0.0%
Negative2049
Negative (%)55.0%
Memory size29.2 KiB
2022-10-02T04:37:45.003538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.23765036
5-th percentile-0.032510615
Q1-0.01113199
median-0.00171816
Q30.007952435
95-th percentile0.025642511
Maximum0.49365297
Range0.73130333
Interquartile range (IQR)0.019084425

Descriptive statistics

Standard deviation0.02191345819
Coefficient of variation (CV)-11.791542
Kurtosis77.72673645
Mean-0.001858404795
Median Absolute Deviation (MAD)0.0095244
Skewness2.624354035
Sum-6.92627467
Variance0.0004801996496
MonotonicityNot monotonic
2022-10-02T04:37:45.093603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.011442812
 
0.1%
-0.031376681
 
< 0.1%
-0.006151441
 
< 0.1%
0.008640921
 
< 0.1%
-0.08392021
 
< 0.1%
-0.007213081
 
< 0.1%
-0.005354821
 
< 0.1%
-0.018305731
 
< 0.1%
-0.011009841
 
< 0.1%
-0.011459021
 
< 0.1%
Other values (3716)3716
99.7%
ValueCountFrequency (%)
-0.237650361
< 0.1%
-0.194457411
< 0.1%
-0.131822241
< 0.1%
-0.115151531
< 0.1%
-0.114556981
< 0.1%
-0.104594391
< 0.1%
-0.090934951
< 0.1%
-0.086021921
< 0.1%
-0.084957781
< 0.1%
-0.084815661
< 0.1%
ValueCountFrequency (%)
0.493652971
< 0.1%
0.109194961
< 0.1%
0.106621241
< 0.1%
0.10342081
< 0.1%
0.102622581
< 0.1%
0.09920031
< 0.1%
0.09869761
< 0.1%
0.095331211
< 0.1%
0.092835891
< 0.1%
0.089795871
< 0.1%

TOTFX
Real number (ℝ)

HIGH CORRELATION

Distinct3679
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1306.67628
Minimum-23612
Maximum21694
Zeros0
Zeros (%)0.0%
Negative3080
Negative (%)82.6%
Memory size29.2 KiB
2022-10-02T04:37:45.188038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-23612
5-th percentile-6364.54
Q1-2414
median-955.38
Q3-234.32
95-th percentile2966.6
Maximum21694
Range45306
Interquartile range (IQR)2179.68

Descriptive statistics

Standard deviation3139.100459
Coefficient of variation (CV)-2.402355126
Kurtosis9.706714394
Mean-1306.67628
Median Absolute Deviation (MAD)924.554
Skewness0.274346496
Sum-4869982.495
Variance9853951.69
MonotonicityNot monotonic
2022-10-02T04:37:45.279001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1099.43
 
0.1%
-1253.32
 
0.1%
-2273.12
 
0.1%
-4065.92
 
0.1%
-3253.32
 
0.1%
-1816.32
 
0.1%
-1711.62
 
0.1%
-820.682
 
0.1%
-1875.92
 
0.1%
-2726.32
 
0.1%
Other values (3669)3706
99.4%
ValueCountFrequency (%)
-236121
< 0.1%
-235751
< 0.1%
-231751
< 0.1%
-213371
< 0.1%
-187831
< 0.1%
-186701
< 0.1%
-152911
< 0.1%
-141521
< 0.1%
-140001
< 0.1%
-139881
< 0.1%
ValueCountFrequency (%)
216941
< 0.1%
216711
< 0.1%
207361
< 0.1%
204111
< 0.1%
200991
< 0.1%
165271
< 0.1%
157891
< 0.1%
152461
< 0.1%
150651
< 0.1%
140791
< 0.1%

EPSY
Real number (ℝ)

HIGH CORRELATION

Distinct2081
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002804266166
Minimum-0.2915
Maximum0.2637
Zeros2
Zeros (%)0.1%
Negative1964
Negative (%)52.7%
Memory size29.2 KiB
2022-10-02T04:37:45.361386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2915
5-th percentile-0.13591
Q1-0.04895
median-0.0045
Q30.04295
95-th percentile0.1286
Maximum0.2637
Range0.5552
Interquartile range (IQR)0.0919

Descriptive statistics

Standard deviation0.07837025436
Coefficient of variation (CV)-27.94679596
Kurtosis0.7668710467
Mean-0.002804266166
Median Absolute Deviation (MAD)0.046
Skewness0.03915304182
Sum-10.4515
Variance0.006141896769
MonotonicityNot monotonic
2022-10-02T04:37:45.454730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02147
 
0.2%
-0.05067
 
0.2%
0.09237
 
0.2%
-0.04167
 
0.2%
-0.03777
 
0.2%
-0.07436
 
0.2%
0.04996
 
0.2%
-0.01976
 
0.2%
0.00436
 
0.2%
-0.01836
 
0.2%
Other values (2071)3662
98.3%
ValueCountFrequency (%)
-0.29151
< 0.1%
-0.27491
< 0.1%
-0.27031
< 0.1%
-0.26651
< 0.1%
-0.26321
< 0.1%
-0.26211
< 0.1%
-0.26191
< 0.1%
-0.26151
< 0.1%
-0.25971
< 0.1%
-0.25641
< 0.1%
ValueCountFrequency (%)
0.26371
< 0.1%
0.261
< 0.1%
0.25861
< 0.1%
0.25651
< 0.1%
0.24481
< 0.1%
0.24421
< 0.1%
0.24132
0.1%
0.24021
< 0.1%
0.23821
< 0.1%
0.23761
< 0.1%

EPSX
Real number (ℝ)

HIGH CORRELATION

Distinct2334
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.118742125
Minimum-0.3098
Maximum0.3051
Zeros0
Zeros (%)0.0%
Negative647
Negative (%)17.4%
Memory size29.2 KiB
2022-10-02T04:37:45.538940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3098
5-th percentile-0.15138
Q10.0675
median0.1525
Q30.21155
95-th percentile0.26444
Maximum0.3051
Range0.6149
Interquartile range (IQR)0.14405

Descriptive statistics

Standard deviation0.1270010771
Coefficient of variation (CV)1.069553682
Kurtosis0.5000576239
Mean0.118742125
Median Absolute Deviation (MAD)0.0673
Skewness-1.101499214
Sum442.5519
Variance0.01612927358
MonotonicityNot monotonic
2022-10-02T04:37:45.630788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19217
 
0.2%
0.13577
 
0.2%
0.19926
 
0.2%
0.26096
 
0.2%
0.1656
 
0.2%
0.22546
 
0.2%
0.12176
 
0.2%
0.226
 
0.2%
0.16475
 
0.1%
0.15315
 
0.1%
Other values (2324)3667
98.4%
ValueCountFrequency (%)
-0.30981
< 0.1%
-0.29641
< 0.1%
-0.29551
< 0.1%
-0.29191
< 0.1%
-0.29121
< 0.1%
-0.28391
< 0.1%
-0.28331
< 0.1%
-0.27951
< 0.1%
-0.27711
< 0.1%
-0.27691
< 0.1%
ValueCountFrequency (%)
0.30511
< 0.1%
0.30371
< 0.1%
0.30291
< 0.1%
0.30111
< 0.1%
0.29871
< 0.1%
0.29671
< 0.1%
0.29572
0.1%
0.29551
< 0.1%
0.29521
< 0.1%
0.2952
0.1%

Interactions

2022-10-02T04:37:37.031209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:36.533048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:39.022593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:41.278705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:43.590626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:45.814781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:48.082078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:50.338283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:53.021753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:55.367269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:57.803007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:00.145302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:02.428216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:04.647768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:06.838238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:09.181737image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:11.600313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:14.038239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:16.394451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:18.904563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:21.338970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:23.596030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:26.064321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:28.186455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:30.300571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:32.602173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:34.813180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:37.215953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:36.649840image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:39.110513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:41.361289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:43.665227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:45.897060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:48.150003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:50.438311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:53.124859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:55.459609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:57.886160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:00.230757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:02.510733image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:04.730850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:06.920504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:09.272523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:11.684429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:14.105243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:16.496935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:18.988697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:21.424200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:23.690146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:26.133574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:28.360396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:30.382620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:32.797968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:34.997154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:37.288659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:36.717177image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:39.195817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:41.432812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:43.746864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:45.970040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:48.234630image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:50.512483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:53.205034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:55.542541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:57.968186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:00.302828image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:02.584048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:04.802680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:06.992375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:09.346958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:11.756140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:14.183900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:16.585040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:19.068156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:21.623927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:23.859763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:26.201995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:28.433474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:30.557429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:32.870978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:35.070138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:37.371390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:36.812096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:39.279854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:41.525567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:43.828929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:46.053710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:48.314410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:50.601934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:53.289970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:55.625509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:58.059117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:00.394211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:02.666391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:04.885236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:07.076126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:09.439801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:11.839346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:14.268134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:16.678580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:19.269288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:21.708625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:23.943690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:26.280717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:28.505700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:30.648437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:32.943432image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:35.144380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:37.451729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:36.891413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:39.363921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:41.607472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:43.903126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:46.126397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:48.399370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:50.685894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:53.373525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:55.709099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:58.134318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:00.476854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:02.748585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:04.957521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:07.156027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:09.521075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:11.951465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:14.337143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:16.785336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:19.354525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:21.792899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:24.028004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:26.367620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:28.586180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:30.722819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:33.026522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:35.228119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:37.525456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:36.975116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:39.439262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:41.689145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:43.984581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:46.209296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:48.483214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:50.772043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:53.470238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:55.799967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:58.218401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:00.550366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:02.818675image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:05.029333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:07.231282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:09.599196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:12.130936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:14.563001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:16.986052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:19.436641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:21.871034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:24.112674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:26.433661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:28.659522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:30.804844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:33.098716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:35.300387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:37:37.608524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:37.059643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-10-02T04:36:39.518224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-10-02T04:37:46.031155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-10-02T04:37:46.226826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-10-02T04:37:46.412304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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A simple visualization of nullity by column.
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Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-10-02T04:37:40.136632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

T_RECFlareNumberLongitudeLatitudeTOTUSJHTOTBSQTOTPOTTOTUSJZABSNJZHSAVNCPPUSFLUXAREA_ACRTOTFZMEANPOTR_VALUEEPSZSHRGT45MEANSHRMEANGAMMEANGBTMEANGBZMEANGBHMEANJZHTOTFYMEANJZDMEANALPTOTFXEPSYEPSX
02010-05-01 23:48:000281564.2662.114200e+093.596094e+211.204115e+1213.1459.928427e+117.739207e+2084.971283114.63002472.8870.0000.10285.11422.45933.214159.145160.26676.708-0.012005-349.3301.697619-0.031377285.8000.1567-0.1282
12010-05-02 23:48:000151637.7871.392500e+091.230179e+217.821382e+116.5766.830595e+114.664249e+2075.816551145.99001321.4110.0000.19891.28417.85729.207152.084158.55366.027-0.009381-216.8001.823444-0.0320417.2200.1477-0.0049
22010-05-03 23:48:0003816109.5972.105100e+097.247206e+212.210139e+121.7966.538775e+112.021575e+2138.578773-442.41001712.2852.564-0.39863.20122.24228.947102.453102.62539.3140.000564-102.160-0.3837480.001854-470.0400.04600.2118
32010-05-04 23:48:0005218128.4693.523700e+091.099354e+222.681991e+127.6598.125700e+114.019364e+2141.903934-1047.90001359.7232.401-0.56412.11918.50926.17573.74075.41832.2200.001258-57.042-0.2495160.004048-548.5500.01540.1476
42010-05-05 08:36:000423226.8951.405700e+091.338355e+215.681022e+118.6637.032262e+116.483941e+2013.434425-276.65001031.4880.000-0.37330.00017.21520.541106.522106.43432.5870.008876205.970-1.3447910.030971-312.130-0.13900.2106
52010-05-05 12:00:00024159.3561.653600e+094.251937e+202.276550e+112.8612.372574e+111.485725e+209.96235592.81101194.6460.0000.10650.00019.97626.367120.866119.57339.805-0.010674-190.0301.654517-0.054418-400.7600.10900.2299
62010-05-05 23:48:00072627.1286.617800e+081.269460e+216.105195e+114.5655.181749e+113.618997e+2028.461317-3.39071620.1470.000-0.00972.20321.65127.165148.871149.50150.855-0.007738119.5401.641046-0.030531-125.170-0.17130.1794
72010-05-06 20:48:00082116.4533.401900e+087.953576e+204.289440e+114.1993.253837e+111.620087e+2014.1442981.78871996.3122.0900.01008.00028.15329.526141.125142.77856.633-0.013996-67.429-0.355175-0.069079-67.6140.18800.1885
82010-05-06 23:36:000222614.3747.804400e+089.144549e+203.540931e+111.0092.236963e+113.281642e+2015.213446-55.54301181.0850.000-0.13501.37221.36026.191112.426112.85035.3220.00173195.8070.7166130.008148-202.130-0.11640.2456
92010-05-06 23:48:0001323220.1883.461700e+091.265899e+225.162447e+120.8581.342242e+123.219149e+21261.098694-227.25001759.3312.286-0.12455.24223.81629.354129.146129.64351.252-0.000158-845.8200.462673-0.00066628.4350.2317-0.0078

Last rows

T_RECFlareNumberLongitudeLatitudeTOTUSJHTOTBSQTOTPOTTOTUSJZABSNJZHSAVNCPPUSFLUXAREA_ACRTOTFZMEANPOTR_VALUEEPSZSHRGT45MEANSHRMEANGAMMEANGBTMEANGBZMEANGBHMEANJZHTOTFYMEANJZDMEANALPTOTFXEPSYEPSX
37172017-09-05 11:48:0013096084.4886.484300e+101.379448e+248.354383e+132742.2828.088022e+133.766002e+221506.788452-1232.719804.125.236-0.036153.72648.79156.076107.995126.66975.674-0.0522872182.50.126613-0.084816-3349.9-0.03190.0490
37182017-09-06 14:12:0014597658.4398.158100e+101.681729e+249.844507e+133780.5489.495076e+134.852573e+221723.304688-3020.719894.115.300-0.070242.95343.42349.796107.504119.56574.411-0.0593964298.3-0.216877-0.090935-6432.8-0.05000.0748
37192017-09-07 02:12:0015896994.7468.596400e+101.594555e+248.662567e+132815.6237.783460e+135.394734e+221774.866089-6937.417928.075.139-0.153140.91941.56247.47895.617109.52163.184-0.0420434976.5-0.231624-0.060070-7314.1-0.05490.0807
37202017-09-07 03:36:0015896497.1688.531500e+101.589243e+248.422945e+132840.5827.891487e+135.369119e+221790.221191-6581.918125.735.124-0.146340.42041.56347.11497.401111.57663.218-0.0430274313.7-0.200144-0.061864-7290.6-0.04800.0810
37212017-09-07 06:12:0015896449.1208.326400e+101.570976e+248.537653e+132919.7868.247506e+135.534532e+221870.376953-6654.716864.475.158-0.151638.22640.71446.26595.427109.07260.801-0.0416274167.4-0.085200-0.064565-7497.4-0.04750.0854
37222017-09-07 15:00:0015895769.7017.859000e+101.449073e+248.285670e+132579.5137.062008e+135.622430e+221904.648193-7467.415075.065.047-0.180235.95539.75145.43891.245104.54056.592-0.0356393494.6-0.159696-0.059097-7805.5-0.04220.0942
37232017-09-07 23:24:0015895522.0147.859300e+101.307202e+247.869333e+131810.4644.244859e+135.956309e+221840.076782-9851.213102.074.874-0.237831.39936.77242.85686.03199.37553.054-0.0241003508.8-0.065194-0.040032-7381.5-0.04230.0891
37242017-09-08 04:12:0017095562.0467.901800e+101.324064e+247.924306e+131588.0553.736212e+135.949862e+221863.613525-10090.013551.764.854-0.242231.73837.04243.02188.569104.68954.267-0.0215873518.2-0.099056-0.035159-7190.8-0.04220.0863
37252017-09-08 10:48:0017095072.4547.555800e+101.292672e+247.544420e+131190.3302.599231e+135.917355e+221859.951904-9502.112621.924.831-0.238531.63136.98343.63881.76497.59750.309-0.0154362879.6-0.127479-0.027490-7216.3-0.03610.0906
37262017-09-08 22:00:0017094000.9377.261200e+101.162882e+246.169161e+13807.0021.945459e+136.010767e+221806.071777-10437.011281.484.689-0.272630.71236.17442.09471.22983.60544.017-0.0103982063.6-0.109603-0.019149-7492.6-0.02700.0979